feat: enrich 209 skills with MITRE ATLAS, D3FEND, and NIST AI RMF frontmatter

Added structured security framework mappings to SKILL.md frontmatter across all applicable skills:
- atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques)
- d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs)
- nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions)

Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
This commit is contained in:
mukul975
2026-04-06 01:56:17 +02:00
parent c15f73db46
commit ef27f026cb
209 changed files with 3959 additions and 3379 deletions
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---
name: detecting-qr-code-phishing-with-email-security
description: Detect and prevent QR code phishing (quishing) attacks that bypass traditional email security by embedding malicious URLs in QR code images within emails.
description: Detect and prevent QR code phishing (quishing) attacks that bypass traditional email security by embedding malicious
URLs in QR code images within emails.
domain: cybersecurity
subdomain: phishing-defense
tags: [quishing, qr-code, phishing, email-security, image-analysis, ocr, mobile-security]
version: "1.0"
tags:
- quishing
- qr-code
- phishing
- email-security
- image-analysis
- ocr
- mobile-security
version: '1.0'
author: mahipal
license: Apache-2.0
atlas_techniques:
- AML.T0052
- AML.T0024
- AML.T0035
nist_ai_rmf:
- MEASURE-2.8
- MAP-5.1
---
# Detecting QR Code Phishing with Email Security